Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey

Complexity and variety of modern multiobjective optimisation problems result in the emergence of numerous search techniques, from traditional mathematical programming to various randomised heuristics. A key issue raised consequently is how to evaluate and compare solution sets generated by these mul...

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Bibliographic Details
Published in:	ACM computing surveys 2020-03, Vol.52 (2), p.1-38, Article 26
Main Authors:	Li, Miqing, Yao, Xin
Format:	Article
Language:	English
Subjects:	Applied computing Artificial intelligence Bio-inspired approaches Computer science Computing methodologies Decision analysis Genetic algorithms Indicators Machine learning Machine learning approaches Mathematical programming Multi-criterion optimization and decision-making Multiple objective analysis Operations research Optimization Quality Quality assessment Search methodologies
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